A set of adjustments that enable you to scale based on the size of the alarm breach.

Instance Attribute Details

#adjustment_type ⇒ String

The adjustment type, which specifies how the ScalingAdjustment
parameter in a StepAdjustment is interpreted.

Possible values:

ChangeInCapacity

PercentChangeInCapacity

ExactCapacity

Returns:

(String)
—

The adjustment type, which specifies how the ScalingAdjustment parameter in a StepAdjustment is interpreted.

#cooldown ⇒ Integer

The amount of time, in seconds, after a scaling activity completes where
previous trigger-related scaling activities can influence future scaling
events.

For scale out policies, while the cooldown period is in effect, the
capacity that has been added by the previous scale out event that
initiated the cooldown is calculated as part of the desired capacity for
the next scale out. The intention is to continuously (but not
excessively) scale out. For example, an alarm triggers a step scaling
policy to scale out an Amazon ECS service by 2 tasks, the scaling
activity completes successfully, and a cooldown period of 5 minutes
starts. During the Cooldown period, if the alarm triggers the same
policy again but at a more aggressive step adjustment to scale out the
service by 3 tasks, the 2 tasks that were added in the previous scale
out event are considered part of that capacity and only 1 additional
task is added to the desired count.

For scale in policies, the cooldown period is used to block subsequent
scale in requests until it has expired. The intention is to scale in
conservatively to protect your application\'s availability. However, if
another alarm triggers a scale out policy during the cooldown period
after a scale-in, Application Auto Scaling scales out your scalable
target immediately.

Returns:

(Integer)
—

The amount of time, in seconds, after a scaling activity completes where previous trigger-related scaling activities can influence future scaling events.

#metric_aggregation_type ⇒ String

The aggregation type for the CloudWatch metrics. Valid values are
Minimum, Maximum, and Average.

Possible values:

Average

Minimum

Maximum

Returns:

(String)
—

The aggregation type for the CloudWatch metrics.

#min_adjustment_magnitude ⇒ Integer

The minimum number to adjust your scalable dimension as a result of a
scaling activity. If the adjustment type is PercentChangeInCapacity,
the scaling policy changes the scalable dimension of the scalable target
by this amount.

Returns:

(Integer)
—

The minimum number to adjust your scalable dimension as a result of a scaling activity.